@article{oai:metro-cit.repo.nii.ac.jp:00000063,
 author = {海津, 宏 and Kaizu, Hiroshi},
 journal = {東京都立産業技術高等専門学校研究紀要, Research reports of Tokyo Metropolitan College of Industrial Technology},
 month = {Mar},
 note = {P(論文), It is important to study the good flexible ability for a mobile robot of which mathematicalmodeling is difficult. The genetic algorithms for fuzzy control robot can be applied to the rule selectionproblem for constructing a fuzzy-rule-based system by a small number of fuzzy if-then rules.This paper studies to discuss the collision avoidance among moving obstacles on the conventional hierarchical fuzzy robot model using a genetic algorithm. Some results of computer simulation are shown to prove the ef fectiveness of this fuzzy method.},
 pages = {21--26},
 title = {遺伝的アルゴリズムを用いたファジィ制御ロボットの動的障害物回避について},
 volume = {3},
 year = {2009},
 yomi = {カイズ, ヒロシ}
}